Author: Davide Golinelli; Andrea Giovanni Nuzzolese; Erik Boetto; Flavia Rallo; Manfredi Greco; Fabrizio Toscano; Maria Pia Fantini
Title: The impact of early scientific literature in response to COVID-19: a scientometric perspective Document date: 2020_4_18
ID: jwqrfb6h_20
Snippet: We report descriptive statistics related to the different metric categories of the selected papers (mean, standard deviation -SD, median, and confidence interval -CI). We considered the papers in the upper quantile (95%) for each metric category (citations, capture, mentions, social media and usage). For each category we also reported the value (e.g. number of citations or mentions) associated with the 95% quantile. Then, for papers above the ide.....
Document: We report descriptive statistics related to the different metric categories of the selected papers (mean, standard deviation -SD, median, and confidence interval -CI). We considered the papers in the upper quantile (95%) for each metric category (citations, capture, mentions, social media and usage). For each category we also reported the value (e.g. number of citations or mentions) associated with the 95% quantile. Then, for papers above the identified CIS threshold, we described the main study characteristics in terms of publication date, publication type, aim of the study, and authors' nationality. .
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